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Ternary-Bonsai-1.7B-unpacked
prism-ml/Ternary-Bonsai-1.7B-unpacked
Ternary-Bonsai-1.7B-unpacked is a machine learning model from prism-ml. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
FP16 safetensors (HuggingFace format) of the ternary Bonsai-1.7B model. This repo exists for users who want to run Ternary Bonsai with stock HuggingFace tooling or frameworks that don't yet support any of the packed t…
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At a glance
- License
- apache-2.0
- Model type
- qwen3
- Access
- Public
- Created
- Apr 14, 2026
- Updated
- Apr 16, 2026
- SHA
- 3aca8400
Model card
From the Hugging Face model README
Ternary-Bonsai-1.7B — Unpacked FP16 Safetensors
FP16 safetensors (HuggingFace format) of the ternary Bonsai-1.7B model. This repo exists for users who want to run Ternary Bonsai with stock HuggingFace tooling or frameworks that don't yet support any of the packed ternary format. The MLX 2-bit format is currently the only packed format available; more formats for other backends are coming soon.
We strongly recommend using the natively packed models instead. The packed format is where all the benefits of Bonsai come from — up to 9x memory reduction, 4x faster inference, and lower energy per token. This unpacked FP16 version is full-size and does not provide any of those advantages.
For the optimized ternary release model (recommended):
- Ternary-Bonsai-1.7B MLX 2-bit — Ternary MLX for Apple Silicon
- Type
- qwen3
- License
- apache-2.0
- Created
- Apr 14, 2026
- Updated
- Apr 16, 2026